egttools.numerical.numerical.calculate_strategies_distribution

calculate_strategies_distribution(pop_size: int, nb_strategies: int, stationary_distribution: scipy.sparse.csr_matrix[numpy.float64]) → numpy.ndarray[numpy.float64[m, 1]]

Calculates the average frequency of each strategy available in the population given the stationary distribution.

It expects that the stationary_distribution is in sparse form.

Parameters

  • pop_size (int) – Size of the population.

  • nb_strategies (int) – Number of strategies that can be assigned to players.

  • stationary_distribution (scipy.sparse.csr_matrix) – A sparse matrix which contains the stationary distribution (the frequency with which the evolutionary system visits each stationary state).

Returns

Average frequency of each strategy in the stationary evolutionary system.

Return type

numpy.ndarray[numpy.float64[m, 1]]

See also

egttools.numerical.calculate_state, egttools.numerical.sample_simplex, egttools.numerical.calculate_nb_states, egttools.numerical.PairwiseComparisonNumerical.estimate_stationary_distribution, egttools.numerical.calculate_nb_states, egttools.numerical.PairwiseComparisonNumerical.estimate_stationary_distribution_sparse